Automated knee bone segmentation and visualisation using mask RCNN and marching cube: Data from the osteoarthritis initiative

In this work, an automated knee bone segmentation model is proposed. A mask region-based convolutional neural network (RCNN) algorithm is developed to segment the bone and reconstructed into 3D object by using Marching-Cube algorithm. The proposed method is divided into two stages. First, the Mask R...

Full description

Saved in:
Bibliographic Details
Main Authors: Patekar, Rahul, Kumar, Prashant Shukla, Gan, Hong-Seng, Ramlee, Muhammad Hanif
Format: Article
Language:English
Published: Akademi Sains Malaysia 2022
Subjects:
Online Access:http://eprints.utm.my/id/eprint/101146/1/MuhammadHanifRamlee2022_AutomatedKneeBoneSegmentationandVisualisation.pdf
http://eprints.utm.my/id/eprint/101146/
http://dx.doi.org/10.32802/asmscj.2022.968
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Malaysia
Language: English